{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/CoreTheGreat/HBPU-Machine-Learning-Course/blob/main/ML_Chapter3_Classification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lPboLx_o0UxI"
   },
   "source": [
    "# 实验5：分类模型的评估方法\n",
    "\n",
    "*使用scikit-learn库生成二分类和多分类问题的虚拟数据（5分）\n",
    "\n",
    "*训练逻辑回归和支持向量机做二分类，决策树和随机森林做多分类（5分）\n",
    "\n",
    "*绘制二分类和多分类模型的混淆矩阵并计算精度（10分）\n",
    "\n",
    "*使用scikit-learn库的precision_recall_curve绘制P-R曲线（10分）\n",
    "\n",
    "*绘制F1-Recall曲线，确定最优判定阈值（10分）\n",
    "\n",
    "*计算敏感性和特异性，绘制ROC曲线并计算AUC（10分）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ifpm7Sql4U09"
   },
   "source": [
    "### 使用scikit-learn库生成二分类和多分类问题的虚拟数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "sM-ziKb94S9_",
    "outputId": "9a8bd59b-1ed4-47e3-e118-cee1849a610a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.25, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练逻辑回归和支持向量机做二分类，决策树和随机森林做多分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BWPSDyOq5qOO",
    "outputId": "9aed06f2-67a9-4a6f-f00c-d91554c3a260"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression model trained successfully...\n",
      "Support vector machine trained successfully...\n",
      "Decision tree trained successfully...\n",
      "Random forests trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Model Definition\n",
    "mdl_lr = LogisticRegression() # Logistic Regression\n",
    "mdl_svm = SVC() # Support Vector Machine\n",
    "mdl_dt = DecisionTreeClassifier() # Decision Tree\n",
    "mdl_rf = RandomForestClassifier(n_estimators=100) # Random Forests\n",
    "\n",
    "# Model Training\n",
    "mdl_lr.fit(X_train, y_train) # Logistic Regression\n",
    "print('Logistic regression model trained successfully...')\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "mdl_dt.fit(X_train, y_train) # Decision Tree\n",
    "print('Decision tree trained successfully...')\n",
    "\n",
    "mdl_rf.fit(X_train, y_train) # Random Forest\n",
    "print('Random forests trained successfully...')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BtGNbqlSKnC-"
   },
   "source": [
    "### 绘制二分类和多分类模型的混淆矩阵并计算精度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns # To display confusion matrix\n",
    "    \n",
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def cm_disp(cm, title='Confusion Matrix', save_fig=False):\n",
    "    ''' \n",
    "    Display confusion matrix\n",
    "    '''\n",
    "    global label_size, ticklabel_size\n",
    "    \n",
    "    # Create a figure and axis\n",
    "    fig, ax = plt.subplots(figsize=(6, 4))\n",
    "    \n",
    "    # Use seaborn to create a heatmap without color bar\n",
    "    sns.heatmap(cm, annot=True, fmt='.0f', cmap='Blues', ax=ax, annot_kws={'size': ticklabel_size}, cbar=False)\n",
    "    \n",
    "    # Set ticklabels\n",
    "    ax.set_xticklabels(['Positive', 'Negative'])\n",
    "    ax.set_yticklabels(['Positive', 'Negative'], rotation=90)\n",
    "    \n",
    "    # Set labels and title with custom font sizes\n",
    "    ax.set_xlabel('Predicted labels', fontsize=label_size)\n",
    "    ax.set_ylabel('True labels', fontsize=label_size)\n",
    "    ax.set_title(title, fontsize=label_size)\n",
    "    \n",
    "    # Set tick label font size\n",
    "    ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "    \n",
    "    if save_fig:\n",
    "        plt.savefig(f'{title.replace(\" \", \"_\")}_confusion_matrix.png', dpi=300, bbox_inches='tight')\n",
    "    \n",
    "    # Show the plot\n",
    "    plt.show()\n",
    "    \n",
    "# Get confusion matrix of all models\n",
    "# Predictions for each model\n",
    "y_pred_lr = mdl_lr.predict(X_test)\n",
    "y_pred_svm = mdl_svm.predict(X_test)\n",
    "y_pred_dt = mdl_dt.predict(X_test)\n",
    "y_pred_rf = mdl_rf.predict(X_test)\n",
    "\n",
    "# Confusion matrices for each model\n",
    "cm_lr = confusion_matrix(y_pred_lr, y_test)\n",
    "cm_svm = confusion_matrix(y_pred_svm, y_test)\n",
    "cm_dt = confusion_matrix(y_pred_dt, y_test)\n",
    "cm_rf = confusion_matrix(y_pred_rf, y_test)\n",
    "\n",
    "# Display the confusion matrices\n",
    "save_flag = False\n",
    "cm_disp(cm_lr, title='Logistic Regression', save_fig=save_flag)\n",
    "cm_disp(cm_svm, title='Support Vector Machine', save_fig=save_flag)\n",
    "cm_disp(cm_dt, title='Decision Tree', save_fig=save_flag)\n",
    "cm_disp(cm_rf, title='Random Forest', save_fig=save_flag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算各模型的准确率 Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression Accuracy: 0.8667\n",
      "Support Vector Machine Accuracy: 0.9600\n",
      "Decision Tree Accuracy: 0.9133\n",
      "Random Forest Accuracy: 0.9500\n"
     ]
    }
   ],
   "source": [
    "def getAccuracyFromCM(cm):\n",
    "    # Calculate total number of samples\n",
    "    total = np.sum(cm)\n",
    "    \n",
    "    # Calculate number of correct predictions (sum of diagonal elements)\n",
    "    correct = np.trace(cm)\n",
    "    \n",
    "    # Calculate accuracy\n",
    "    accuracy = correct / total\n",
    "    \n",
    "    return accuracy\n",
    "\n",
    "# Accuracy of each model\n",
    "acc_lr = getAccuracyFromCM(cm_lr)\n",
    "acc_svm = getAccuracyFromCM(cm_svm)\n",
    "acc_dt = getAccuracyFromCM(cm_dt)\n",
    "acc_rf = getAccuracyFromCM(cm_rf)\n",
    "\n",
    "# Print accuracies\n",
    "print(f\"Logistic Regression Accuracy: {acc_lr:.4f}\")\n",
    "print(f\"Support Vector Machine Accuracy: {acc_svm:.4f}\")\n",
    "print(f\"Decision Tree Accuracy: {acc_dt:.4f}\")\n",
    "print(f\"Random Forest Accuracy: {acc_rf:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用scikit-learn库的precision_recall_curve绘制P-R曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression model trained successfully...\n",
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_lr = LogisticRegression() # Logistic Regression\n",
    "mdl_svm = SVC(probability=True) # Support Vector Machine, set probability to draw P-R Curve\n",
    "\n",
    "# Model Training\n",
    "mdl_lr.fit(X_train, y_train) # Logistic Regression\n",
    "print('Logistic regression model trained successfully...')\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Get confusion matrix of all models\n",
    "# Predict probabilities for each model\n",
    "y_proba_lr = mdl_lr.predict_proba(X_test)[:, 1] # Using probability of positive class\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.0 - Precision: 0.4800, Recall: 1.0000, F1 Score: 0.6486\n",
      "When threshold = 0.1 - Precision: 0.5934, Recall: 0.9931, F1 Score: 0.7429\n",
      "When threshold = 0.2 - Precision: 0.6900, Recall: 0.9583, F1 Score: 0.8023\n",
      "When threshold = 0.3 - Precision: 0.7247, Recall: 0.8958, F1 Score: 0.8012\n",
      "When threshold = 0.4 - Precision: 0.7654, Recall: 0.8611, F1 Score: 0.8105\n",
      "When threshold = 0.5 - Precision: 0.8176, Recall: 0.8403, F1 Score: 0.8288\n",
      "When threshold = 0.6 - Precision: 0.8382, Recall: 0.7917, F1 Score: 0.8143\n",
      "When threshold = 0.7 - Precision: 0.9130, Recall: 0.7292, F1 Score: 0.8108\n",
      "When threshold = 0.8 - Precision: 0.9375, Recall: 0.6250, F1 Score: 0.7500\n",
      "When threshold = 0.9 - Precision: 1.0000, Recall: 0.3750, F1 Score: 0.5455\n",
      "When threshold = 1.0 - Precision: 0.0000, Recall: 0.0000, F1 Score: 0.0000\n",
      "[[156. 144.]\n",
      " [  0.   0.]]\n"
     ]
    }
   ],
   "source": [
    "def get_precision_recall_f1(y_pred, y):\n",
    "    '''\n",
    "    Compute precision, recall, and F1 score of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Compute confusion matrix\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute precision, recall, and F1 score\n",
    "    precision = cm[1, 1] / (cm[1, 1] + cm[1,0] + epsilon)\n",
    "    recall = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    f1 = 2 * (precision * recall) / (precision + recall + epsilon)\n",
    "    \n",
    "    return precision, recall, f1\n",
    "\n",
    "# Get predictions from probabilities\n",
    "for threshold in np.linspace(0, 1, 11):\n",
    "    y_pred_lr = get_prediction_from_proba(y_proba_lr, threshold)\n",
    "    precision_lr, recall_lr, f1_lr = get_precision_recall_f1(y_pred_lr, y_test)\n",
    "    print(f\"When threshold = {threshold:0.1f} - Precision: {precision_lr:.4f}, Recall: {recall_lr:.4f}, F1 Score: {f1_lr:.4f}\")\n",
    "\n",
    "print(confusion_matrix(y_pred_lr, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Calculate precision and recall for various thresholds\n",
    "precision_lr, recall_lr, thresholds_lr = precision_recall_curve(y_test, y_proba_lr)\n",
    "precision_svm, recall_svm, thresholds_svm = precision_recall_curve(y_test, y_proba_svm)\n",
    "\n",
    "# Create the P-R curve of Logistic Regression and Support Vector Machine\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_lr, precision_lr, marker='.', color='tab:blue', label='Model 2')\n",
    "ax.plot(recall_svm, precision_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('Precision', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "plt.legend(fontsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of Logistic Regression\n",
    "for i in [0, int(len(thresholds_lr)/2), len(thresholds_lr)-1]:\n",
    "    plt.annotate(f'Threshold: {thresholds_lr[i]:.2f}', \n",
    "                    xy=(recall_lr[i]*0.8, thresholds_lr[i]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "plt.savefig('P-R_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制F1-Recall曲线，确定最优判定阈值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate F1 scores for SVM model\n",
    "f1_svm = 2 * (precision_svm * recall_svm) / (precision_svm + recall_svm)\n",
    "\n",
    "# Drawing a curve with Recall as x-axis and F1-score as y-axis\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_svm, f1_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('F1 Score', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of SVM where F1-score is maximum\n",
    "max_f1_index = np.argmax(f1_svm)\n",
    "plt.annotate(f'Threshold: {thresholds_svm[max_f1_index]:.2f}', \n",
    "                    xy=(recall_svm[max_f1_index]*0.8, f1_svm[max_f1_index]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "# Adding a dashed line to indicate the maximum F1 score\n",
    "plt.axvline(x=recall_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "plt.axhline(y=f1_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "\n",
    "# Adding text annotations for maximum F1 score\n",
    "plt.text(recall_svm[max_f1_index]-0.8, f1_svm[max_f1_index]-0.05, f'Max F1 Score: {f1_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "# Adding text annotations below x-axis of Recall where F1-score is maximum\n",
    "plt.text(recall_svm[max_f1_index]-0.3, -0.05, f'Recall: {recall_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "plt.savefig('F1_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算敏感性和特异性，绘制ROC曲线并计算AUC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_svm = SVC(probability=True)\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Predict probabilities\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.00 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.01 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.02 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.03 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.04 - Sensitivity: 1.0000, Specificity: 0.0641\n",
      "When threshold = 0.05 - Sensitivity: 1.0000, Specificity: 0.1218\n",
      "When threshold = 0.06 - Sensitivity: 0.9931, Specificity: 0.2244\n",
      "When threshold = 0.07 - Sensitivity: 0.9931, Specificity: 0.3718\n",
      "When threshold = 0.08 - Sensitivity: 0.9861, Specificity: 0.4487\n",
      "When threshold = 0.09 - Sensitivity: 0.9792, Specificity: 0.5256\n",
      "When threshold = 0.10 - Sensitivity: 0.9792, Specificity: 0.5513\n",
      "When threshold = 0.11 - Sensitivity: 0.9792, Specificity: 0.6026\n",
      "When threshold = 0.12 - Sensitivity: 0.9792, Specificity: 0.6282\n",
      "When threshold = 0.13 - Sensitivity: 0.9792, Specificity: 0.6538\n",
      "When threshold = 0.14 - Sensitivity: 0.9722, Specificity: 0.6795\n",
      "When threshold = 0.15 - Sensitivity: 0.9583, Specificity: 0.6987\n",
      "When threshold = 0.16 - Sensitivity: 0.9583, Specificity: 0.7179\n",
      "When threshold = 0.17 - Sensitivity: 0.9583, Specificity: 0.7244\n",
      "When threshold = 0.18 - Sensitivity: 0.9583, Specificity: 0.7372\n",
      "When threshold = 0.19 - Sensitivity: 0.9583, Specificity: 0.7500\n",
      "When threshold = 0.20 - Sensitivity: 0.9583, Specificity: 0.7564\n",
      "When threshold = 0.21 - Sensitivity: 0.9444, Specificity: 0.7692\n",
      "When threshold = 0.22 - Sensitivity: 0.9375, Specificity: 0.7692\n",
      "When threshold = 0.23 - Sensitivity: 0.9306, Specificity: 0.7756\n",
      "When threshold = 0.24 - Sensitivity: 0.9306, Specificity: 0.7756\n",
      "When threshold = 0.25 - Sensitivity: 0.9236, Specificity: 0.7756\n",
      "When threshold = 0.26 - Sensitivity: 0.9236, Specificity: 0.7949\n",
      "When threshold = 0.27 - Sensitivity: 0.9097, Specificity: 0.7949\n",
      "When threshold = 0.28 - Sensitivity: 0.9097, Specificity: 0.7949\n",
      "When threshold = 0.29 - Sensitivity: 0.9028, Specificity: 0.8013\n",
      "When threshold = 0.30 - Sensitivity: 0.9028, Specificity: 0.8077\n",
      "When threshold = 0.31 - Sensitivity: 0.8958, Specificity: 0.8077\n",
      "When threshold = 0.32 - Sensitivity: 0.8958, Specificity: 0.8141\n",
      "When threshold = 0.33 - Sensitivity: 0.8889, Specificity: 0.8141\n",
      "When threshold = 0.34 - Sensitivity: 0.8819, Specificity: 0.8205\n",
      "When threshold = 0.35 - Sensitivity: 0.8819, Specificity: 0.8205\n",
      "When threshold = 0.36 - Sensitivity: 0.8750, Specificity: 0.8397\n",
      "When threshold = 0.37 - Sensitivity: 0.8681, Specificity: 0.8397\n",
      "When threshold = 0.38 - Sensitivity: 0.8681, Specificity: 0.8526\n",
      "When threshold = 0.39 - Sensitivity: 0.8611, Specificity: 0.8590\n",
      "When threshold = 0.40 - Sensitivity: 0.8542, Specificity: 0.8654\n",
      "When threshold = 0.41 - Sensitivity: 0.8472, Specificity: 0.8654\n",
      "When threshold = 0.42 - Sensitivity: 0.8472, Specificity: 0.8718\n",
      "When threshold = 0.43 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.44 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.45 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.46 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.47 - Sensitivity: 0.8403, Specificity: 0.8782\n",
      "When threshold = 0.48 - Sensitivity: 0.8403, Specificity: 0.8782\n",
      "When threshold = 0.49 - Sensitivity: 0.8333, Specificity: 0.8782\n",
      "When threshold = 0.51 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.52 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.53 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.54 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.55 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.56 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.57 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.58 - Sensitivity: 0.8125, Specificity: 0.8782\n",
      "When threshold = 0.59 - Sensitivity: 0.8056, Specificity: 0.8846\n",
      "When threshold = 0.60 - Sensitivity: 0.8056, Specificity: 0.8910\n",
      "When threshold = 0.61 - Sensitivity: 0.7986, Specificity: 0.8910\n",
      "When threshold = 0.62 - Sensitivity: 0.7986, Specificity: 0.8910\n",
      "When threshold = 0.63 - Sensitivity: 0.7986, Specificity: 0.8974\n",
      "When threshold = 0.64 - Sensitivity: 0.7917, Specificity: 0.8974\n",
      "When threshold = 0.65 - Sensitivity: 0.7917, Specificity: 0.9038\n",
      "When threshold = 0.66 - Sensitivity: 0.7847, Specificity: 0.9038\n",
      "When threshold = 0.67 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.68 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.69 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.70 - Sensitivity: 0.7569, Specificity: 0.9103\n",
      "When threshold = 0.71 - Sensitivity: 0.7569, Specificity: 0.9103\n",
      "When threshold = 0.72 - Sensitivity: 0.7500, Specificity: 0.9103\n",
      "When threshold = 0.73 - Sensitivity: 0.7500, Specificity: 0.9103\n",
      "When threshold = 0.74 - Sensitivity: 0.7361, Specificity: 0.9167\n",
      "When threshold = 0.75 - Sensitivity: 0.7153, Specificity: 0.9167\n",
      "When threshold = 0.76 - Sensitivity: 0.7153, Specificity: 0.9295\n",
      "When threshold = 0.77 - Sensitivity: 0.7083, Specificity: 0.9359\n",
      "When threshold = 0.78 - Sensitivity: 0.7014, Specificity: 0.9423\n",
      "When threshold = 0.79 - Sensitivity: 0.6944, Specificity: 0.9423\n",
      "When threshold = 0.80 - Sensitivity: 0.6875, Specificity: 0.9423\n",
      "When threshold = 0.81 - Sensitivity: 0.6806, Specificity: 0.9487\n",
      "When threshold = 0.82 - Sensitivity: 0.6806, Specificity: 0.9551\n",
      "When threshold = 0.83 - Sensitivity: 0.6597, Specificity: 0.9615\n",
      "When threshold = 0.84 - Sensitivity: 0.6319, Specificity: 0.9679\n",
      "When threshold = 0.85 - Sensitivity: 0.6181, Specificity: 0.9744\n",
      "When threshold = 0.86 - Sensitivity: 0.6111, Specificity: 0.9744\n",
      "When threshold = 0.87 - Sensitivity: 0.5972, Specificity: 0.9744\n",
      "When threshold = 0.88 - Sensitivity: 0.5556, Specificity: 0.9808\n",
      "When threshold = 0.89 - Sensitivity: 0.5139, Specificity: 0.9808\n",
      "When threshold = 0.90 - Sensitivity: 0.4722, Specificity: 1.0000\n",
      "When threshold = 0.91 - Sensitivity: 0.3958, Specificity: 1.0000\n",
      "When threshold = 0.92 - Sensitivity: 0.3194, Specificity: 1.0000\n",
      "When threshold = 0.93 - Sensitivity: 0.2708, Specificity: 1.0000\n",
      "When threshold = 0.94 - Sensitivity: 0.2083, Specificity: 1.0000\n",
      "When threshold = 0.95 - Sensitivity: 0.1319, Specificity: 1.0000\n",
      "When threshold = 0.96 - Sensitivity: 0.0486, Specificity: 1.0000\n",
      "When threshold = 0.97 - Sensitivity: 0.0208, Specificity: 1.0000\n",
      "When threshold = 0.98 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 0.99 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 1.00 - Sensitivity: 0.0000, Specificity: 1.0000\n"
     ]
    }
   ],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred\n",
    "\n",
    "def get_sensitivity_specificity(y_proba, y, threshold=0.5):\n",
    "    '''\n",
    "    Compute sensitivity and specificity of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    threshold - threshold of probability\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Get the confusion matrix\n",
    "    y_pred = get_prediction_from_proba(y_proba, threshold)\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute sensitivity and specificity\n",
    "    sensitivity = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    specificity = cm[0, 0] / (cm[0, 0] + cm[1, 0] + epsilon)\n",
    "    \n",
    "    return sensitivity, specificity\n",
    "\n",
    "# Get predictions from probabilities\n",
    "sen_spec_svm = []\n",
    "for threshold in np.linspace(0, 1, 100):\n",
    "    sensitivity, specificity = get_sensitivity_specificity(y_proba_svm, y_test, threshold)\n",
    "    print(f\"When threshold = {threshold:0.2f} - Sensitivity: {sensitivity:.4f}, Specificity: {specificity:.4f}\")\n",
    "    sen_spec_svm.append([sensitivity, specificity])\n",
    "\n",
    "# Convert to numpy array\n",
    "sen_spec_svm = np.array(sen_spec_svm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw specificity-sensitivity curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:blue', label='SVM Model')\n",
    "ax.set_xlabel('Specificity', fontsize=label_size)\n",
    "ax.set_ylabel('Sensitivity', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([0, 1.01])\n",
    "ax.set_ylim([0, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('Specificity_Sensitivity_Curve.png', dpi=300)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the ROC Curve (AUC): 0.9382\n"
     ]
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw ROC curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:red', label='SVM Model')\n",
    "ax.plot([0, 1], [0, 1], linestyle='--', color='gray', label='Random Classifier')\n",
    "ax.set_xlabel('False Positive Rate (1 - Specificity)', fontsize=label_size)\n",
    "ax.set_ylabel('True Positive Rate (Sensitivity)', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([-0.01, 1.00])\n",
    "ax.set_ylim([-0.01, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('ROC_Curve.png', dpi=300)\n",
    "\n",
    "# Add surface\n",
    "ax.fill_between(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], color='tab:blue', alpha=0.2)\n",
    "\n",
    "plt.savefig('AUC.png', dpi=300)\n",
    "plt.show()\n",
    "\n",
    "# Calculate AUC\n",
    "from sklearn.metrics import auc\n",
    "roc_auc = auc(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0])\n",
    "print(f\"Area Under the ROC Curve (AUC): {roc_auc:.4f}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyO5gS9/MePw+FDiXJA07L6y",
   "include_colab_link": true,
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
